{"id":"W7025004493","doi":"","title":"Trauma Systems in Canada: Evolution, Challenges, and Strategies for Improving Trauma Care for Rural Patients","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trauma care; Major trauma; Population; Rural population; Trauma center; Cohort; Rural area; Penetrating trauma","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005911831,0.0003113304,0.0003792913,0.0003153027,0.0002798013,0.000731781,0.0006063305,0.000134382,0.00000621908],"category_scores_gemma":[0.00006778745,0.0003237558,0.00006066396,0.0001916363,0.00009706934,0.001938871,0.0001597164,0.0002145425,0.000007735914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255393,"about_ca_system_score_gemma":0.0007901338,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02703355,"about_ca_topic_score_gemma":0.659982,"domain_scores_codex":[0.9977062,0.000212309,0.0003539222,0.0007288579,0.000363472,0.0006351752],"domain_scores_gemma":[0.9989609,0.0002175389,0.000144424,0.0002949226,0.0002121565,0.0001701336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005054004,0.0001222867,0.9120743,0.01152739,0.00005120929,0.000161006,0.01038,0.004178734,0.03812723,0.007243849,0.000003664444,0.01562495],"study_design_scores_gemma":[0.001550902,0.00033977,0.9815025,0.0006677598,0.0000630115,0.0000155183,0.01250693,0.0001668075,0.001189656,0.0002508116,0.001118306,0.0006280682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925019,0.002907522,0.001512116,0.00007451651,0.001527676,0.001019329,0.0002841451,0.0001357719,0.00003704042],"genre_scores_gemma":[0.9994394,0.00002253059,0.0001569338,0.00001951199,0.00009084473,0.0000227577,0.00003185499,0.00004116058,0.0001749972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6329484,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04996238777213951,"score_gpt":0.2817111481486665,"score_spread":0.231748760376527,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}